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Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
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Advanced Steel Microstructural Classification by Deep Learning Methods
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A computer vision approach for automated analysis and classification of microstructural image data
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III
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Practical Recommendations for Gradient-Based Training of Deep Architectures
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A Method for Detection and Classification of Glass Defects in Low Resolution Images
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The formation and interpretation of defect images from crystalline materials in a scanning transmission electron microscope
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Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics
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Advanced Steel Microstructural Classification by Deep Learning Methods
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A review of semantic segmentation using deep neural networks
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A comparative study of texture measures with classification based on featured distributions
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A Kinematical Theory of Diffraction Contrast of Electron Transmission Microscope Images of Dislocations and other Defects
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AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
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Phase stability and structural defects in high-temperature Mo–Si–B alloys
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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
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Analytical Transmission Electron Microscopy
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Diffraction contrast STEM of dislocations: Imaging and simulations
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August 2011 |
Dislocation Movement Through Random Arrays of Obstacles
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A Kinematical Theory of Diffraction Contrast of Electron Transmission Microscope Images of Dislocations and other Defects
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 252, Issue 1017
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High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel
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A comparative study of texture measures with classification based on featured distributions
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A computer vision approach for automated analysis and classification of microstructural image data
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Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations
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A Deep Learning Approach to Identify Local Structures in Atomic-Resolution Transmission Electron Microscopy Images
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Fully Convolutional Networks for Semantic Segmentation
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Automated defect analysis in electron microscopic images
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July 2018 |
Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics
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The relationship between grain boundary structure, defect mobility and grain boundary sink efficiency
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Enhancing radiation tolerance by controlling defect mobility and migration pathways in multicomponent single-phase alloys
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Advanced Steel Microstructural Classification by Deep Learning Methods
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Best practices for convolutional neural networks applied to visual document analysis
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A systematic error in the determination of dislocation densities in thin films
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Dislocation movement through random arrays of obstacles
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Image Enhancement via Subimage Histogram Equalization Based on Mean and Variance
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Image driven machine learning methods for microstructure recognition
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October 2016 |
Disconnections and other defects associated with twin interfaces
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October 2016 |
The relationship between grain boundary structure, defect mobility and grain boundary sink efficiency
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March 2015 |
Fully convolutional networks for semantic segmentation
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Image Enhancement via Subimage Histogram Equalization Based on Mean and Variance
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January 2017 |
Enhancing radiation tolerance by controlling defect mobility and migration pathways in multicomponent single-phase alloys
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December 2016 |
Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations
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October 2016 |
Steel defect classification with Max-Pooling Convolutional Neural Networks
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2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), The 2012 International Joint Conference on Neural Networks (IJCNN)
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High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel
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A deep learning approach to identify local structures in atomic-resolution transmission electron microscopy images
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Diffraction contrast STEM of dislocations: Imaging and simulations
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A systematic error in the determination of dislocation densities in thin films
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Densely Connected Convolutional Networks
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conference
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July 2017 |
Fully Convolutional Networks for Semantic Segmentation
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journal
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April 2017 |
The formation and interpretation of defect images from crystalline materials in a scanning transmission electron microscope
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journal
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January 1976 |
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
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preprint
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Classification of corrosion defects in NiAl bronze through image analysis
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Importance-Aware Semantic Segmentation for Autonomous Vehicles
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Control and Use of Defects in Materials
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